Ensure WASM fallback does not crash in GH actions (#402)

* Ensure WASM fallback does not crash in GH actions

* Add unit test for WordPiece `max_input_chars_per_word`

* Cleanup

* Set max test concurrency to 1

package.json

@@ -10,7 +10,7 @@
     "dev": "webpack serve --no-client-overlay",
     "build": "webpack && npm run typegen",
     "generate-tests": "python -m tests.generate_tests",
-    "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js --verbose",
+    "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js --verbose --maxConcurrency 1",
     "readme": "python ./docs/scripts/build_readme.py",
     "docs-api": "node ./docs/scripts/generate.js",
     "docs-preview": "doc-builder preview transformers.js ./docs/source/ --not_python_module",

tests/generation.test.js

@@ -9,8 +9,8 @@ describe('Generation parameters', () => {
 
     // List all models which will be tested
     const models = [
-        'Xenova/LaMini-Flan-T5-77M', // encoder-decoder
-        'Xenova/LaMini-GPT-124M', // decoder-only
+        'MBZUAI/LaMini-Flan-T5-77M', // encoder-decoder
+        'MBZUAI/LaMini-GPT-124M', // decoder-only
     ];
 
     // encoder-decoder model

tests/init.js

@@ -9,6 +9,12 @@ import { onnxruntimeBackend } from "onnxruntime-node/dist/backend";
 import ONNX_COMMON from "onnxruntime-common";
 
 export function init() {
+    // In rare cases (specifically when running unit tests with GitHub actions), possibly due to
+    // a large number of concurrent executions, onnxruntime might fallback to use the WASM backend.
+    // In this case, we set the number of threads to 1 to avoid errors like:
+    //  - `TypeError: The worker script or module filename must be an absolute path or a relative path starting with './' or '../'. Received "blob:nodedata:..."`
+    ONNX_COMMON.env.wasm.numThreads = 1;
+
     // A workaround to define a new backend for onnxruntime, which
     // will not throw an error when running tests with jest.
     // For more information, see: https://github.com/jestjs/jest/issues/11864#issuecomment-1261468011

tests/tensor.test.js

@@ -1,9 +1,6 @@
 
-import { AutoProcessor, Tensor } from '../src/transformers.js';
-
-import { MAX_TEST_EXECUTION_TIME, m } from './init.js';
+import { Tensor } from '../src/transformers.js';
 import { compare } from './test_utils.js';
-
 import { cat, mean, stack } from '../src/utils/tensor.js';
 
 describe('Tensor operations', () => {

tests/tokenizers.test.js

@@ -3,6 +3,7 @@
 import { AutoTokenizer } from '../src/transformers.js';
 import { getFile } from '../src/utils/hub.js';
 import { m, MAX_TEST_EXECUTION_TIME } from './init.js';
+import { compare } from './test_utils.js';
 
 // Load test data generated by the python tests
 // TODO do this dynamically?
@@ -41,10 +42,18 @@ describe('Tokenizers', () => {
 
 describe('Edge cases', () => {
     it('should not crash when encoding a very long string', async () => {
-        let tokenizer = await AutoTokenizer.from_pretrained('t5-small');
+        let tokenizer = await AutoTokenizer.from_pretrained('Xenova/t5-small');
 
         let text = String.prototype.repeat.call('Hello world! ', 50000);
-        let encoded = await tokenizer(text);
+        let encoded = tokenizer(text);
         expect(encoded.input_ids.data.length).toBeGreaterThan(100000);
     }, MAX_TEST_EXECUTION_TIME);
+
+    it('should not take too long', async () => {
+        let tokenizer = await AutoTokenizer.from_pretrained('Xenova/all-MiniLM-L6-v2');
+
+        let text = String.prototype.repeat.call('a', 50000);
+        let token_ids = tokenizer.encode(text);
+        compare(token_ids, [101, 100, 102])
+    }, 5000); // NOTE: 5 seconds
 });